Data, software and scripts related to the Process PLS methodology manuscript

Process PLS repository including software implentations, data and scripts. Repository contains: - R package pathmodelr (See README.txt for installation guide) (GPLv3) - Matlab library - Link to Python implementation (here: https://doi.org/10.5281/zenodo.7074754) - Simulated data of a crude oil distillation process (with scripts to reproduce the results) (CC-BY) - R code for the Val de Loire wine tasting analysis (CC-BY) New in v2: PDF with helpfile to understand the model output New in v4: Matlab implementation New in v8: - Val de Loir analysis file includes function to rename the Process PLS output in R and a function to provide the outer-model R2 values of each block in a simple manner. Also added the renaming function separately to 'software folder' New in V9: - Python Implementation (link: https://doi.org/10.5281/zenodo.7074754) Process PLS is a path modelling algorithm for multiblock data. First described in: van Kollenburg et al. Process PLS: Incorporating substantive knowledge into the predictive modelling of multiblock, multistep, multidimensional and multicollinear process data" https://doi.org/10.1016/j.compchemeng.2021.107466本Process PLS存储库涵盖软件实现代码、实验数据集及配套脚本。该存储库包含以下内容： - R语言包pathmodelr（安装指南详见README.txt，采用GPLv3开源协议） - Matlab工具库 - Python实现代码链接（地址：https://doi.org/10.5281/zenodo.7074754） - 原油蒸馏过程仿真数据集（附带复现结果的脚本，采用CC-BY许可协议） - 用于卢瓦尔河谷（Val de Loire）葡萄酒品鉴分析的R代码（采用CC-BY许可协议） v2版本更新：新增用于辅助理解模型输出的PDF帮助文档 v4版本更新：新增Matlab实现代码 v8版本更新：卢瓦尔河谷葡萄酒品鉴分析文件新增两项功能，其一为R语言环境中重命名Process PLS输出结果的函数，其二为以简易方式输出各模块外模型R²值的函数；此外还将重命名函数单独添加至软件目录中。 v9版本更新：新增Python实现代码（链接：https://doi.org/10.5281/zenodo.7074754） Process PLS是一款面向多块数据的路径建模算法，其首次提出于： van Kollenburg等人发表的《Process PLS：将专业知识融入多块、多步骤、多维度及多重共线性过程数据的预测建模》，论文链接：https://doi.org/10.1016/j.compchemeng.2021.107466